{"id":"W4281632216","doi":"10.1200/jco.2022.40.16_suppl.9036","title":"Association between immune-related adverse events and microbiome composition in patients with advanced non–small cell lung cancer treated with immunotherapy.","year":2022,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Microbiome; Medicine; Lung cancer; Internal medicine; Cohort; Adverse effect; Immune system; Cancer; Oncology; Cohort study; Gastroenterology; Immunology; Biology; Bioinformatics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002258023,0.0001448616,0.0002329332,0.0002272253,0.0002607676,0.0002903189,0.0001674201,0.000224154,0.000882526],"category_scores_gemma":[0.0005291409,0.0001041768,0.0002817798,0.0004993389,0.0001160507,0.0001532514,0.0002428016,0.0002977878,0.000107933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006698868,"about_ca_system_score_gemma":0.0004808332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02002045,"about_ca_topic_score_gemma":0.03387063,"domain_scores_codex":[0.9998715,0.00002434026,0.00001038509,0.00003883188,0.00002549435,0.00002948162],"domain_scores_gemma":[0.9996653,0.00002869118,0.0001541757,0.00001704221,0.00004874316,0.00008606522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002676093,0.00001929532,0.9975542,0.000009793812,0.00003983256,0.00003334283,0.00002364505,0.00003299261,0.0006929742,0.000003870313,0.0000900928,0.001232184],"study_design_scores_gemma":[0.000007119684,0.0001117095,0.9995221,0.000001727066,0.00001516824,0.00004925859,0.00003099855,0.00009522118,0.00004295648,0.000002963958,0.0001197359,0.000001021398],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998863,0.0002867413,0.00003226366,0.0000415158,0.000002993356,0.000009375339,0.0006085756,0.000001941242,0.0001536072],"genre_scores_gemma":[0.9992625,0.00006665046,0.00004302153,0.00002311953,0.000003620647,0.000006977767,0.0004854894,7.041303e-7,0.000107949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02002045,"threshold_uncertainty_score":0.03980786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01033789889107766,"score_gpt":0.3283664836713857,"score_spread":0.318028584780308,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}